Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Che Ting Kuo"'
Publikováno v:
Key Engineering Materials. 846:9-13
This study investigates the influence of aqueous solution molarity on the structural characteristics of zinc oxide (ZnO) grown by hydrothermal method. From the X-ray diffraction (XRD) patterns of the ZnO nanostructures, the diffraction peaks confirm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53237a75b8569ca23922383c4388e8ed
https://doi.org/10.4028/www.scientific.net/kem.846.9
https://doi.org/10.4028/www.scientific.net/kem.846.9
Autor:
Che-Ting Kuo, Ching-Hung Lee
Publikováno v:
Smart Science, Vol 3, Iss 1, Pp 21-34 (2015)
This paper introduces a network-based interval type-2 fuzzy inference system (NT2FIS) with a dynamic solution agent algorithm water flow like algorithm (WFA), for nonlinear system identification and blind source separation (BSS) problem. The NT2FIS c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f7d91ec5a07b061664cfcf005df29ff
https://doi.org/10.1080/23080477.2015.11665633
https://doi.org/10.1080/23080477.2015.11665633
Publikováno v:
International Journal of Systems Science. 43:231-247
This article introduces a novel hybrid evolutionary algorithm for recurrent fuzzy neural systems design in applications of nonlinear systems. The hybrid learning algorithm, IEMBP-improved electromagnetism-like (EM) with back-propagation (BP) techniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9982db04f8b76064383719e0b9a844e3
https://doi.org/10.1080/00207721.2010.488758
https://doi.org/10.1080/00207721.2010.488758
Publikováno v:
Biochemical Engineering Journal. 41:217-227
Transport of biomolecules within cells plays a critical role in the maintenance of the cellular functions. Compared to diffusion in aqueous phase, cytoplasmic diffusion is partly retarded by the elevated viscosity of cytosol. In addition, intracellul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7957019ecf935ca3ead3c557dd61a11
https://doi.org/10.1016/j.bej.2008.04.021
https://doi.org/10.1016/j.bej.2008.04.021
Publikováno v:
Fiber and Integrated Optics. 21:269-276
We present an externally modulated NTSC AM-VSB erbium-doped fiber amplifier (EDFA)-repeated system in the 1550 nm region which uses a chirped fiber grating (CFG) as a dispersion compensation device. In contrast to the conventional externally modulate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d09c47ceb1c2e9d79ffc0e869aaafc92
https://doi.org/10.1080/01468030290087642
https://doi.org/10.1080/01468030290087642
Publikováno v:
Fiber and Integrated Optics. 20:279-285
This study presents a directly modulated 1550 nm NTSC AM-VSB 74-channel fiber optical CATV long-distance (over 100 km) transmission system. In this system, 1550nm analog distributed feedback (DFB) laser diodes, push-pull preamplifier, half-split-band
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0264f21cbea7a11dffe47329ca25c769
https://doi.org/10.1080/01468030151087754
https://doi.org/10.1080/01468030151087754
Autor:
Che-Ting Kuo, Ching-Hung Lee
Publikováno v:
2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA).
In this paper, a new heuristic learning algorithm, the modified water flow-like algorithm (MWFA), is proposed for TSK-type interval-valued fuzzy system (TIVFS) optimization. The water flow-like algorithm (WFA) is inspired by the natural behavior of w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb204c3aa393930bc81a66799afcfe2c
https://doi.org/10.1109/iciea.2012.6360922
https://doi.org/10.1109/iciea.2012.6360922
Autor:
Che-Ting Kuo, 郭哲廷
98
Based on the water flow-like algorithm (WFA), we propose a novel hybrid learning algorithm: the modified water flow-like algorithm (MWFA) for TSK-type interval-valued neural fuzzy system with asymmetric membership function (TIVNFS-A) design.
Based on the water flow-like algorithm (WFA), we propose a novel hybrid learning algorithm: the modified water flow-like algorithm (MWFA) for TSK-type interval-valued neural fuzzy system with asymmetric membership function (TIVNFS-A) design.
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/36250888559703109908
Publikováno v:
International MultiConference of Engineers & Computer Scientists 2009; 2009, p224-229, 6p, 1 Chart, 6 Graphs